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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q142-Q147):

NEW QUESTION # 142
A company has an application that has predictable peak traffic times. The company wants the application instances to scale up only during the peak times. The application stores state in Amazon DynamoDB. The application environment uses a standard Node.js application stack and custom Chef recipes stored in a private Git repository. Which solution is MOST cost-effective and requires the LEAST amount of management overhead when performing rolling updates of the application environment?

A. Configure AWS OpsWorks stacks and use custom Chef cookbooks. Add the Git repository information where the custom recipes are stored, and add a layer in OpsWorks for the Node.js application server. Then configure the custom recipe to deploy the application in the deploy step. Configure time-based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB.
B. Configure AWS OpsWorks stacks and push the custom recipes to an Amazon S3 bucket and configure custom recipes to point to the S3 bucket. Then add an application layer type for a standard Node.js application server and configure the custom recipe to deploy the application in the deploy step from the S3 bucket. Configure time-based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB
C. Create a custom AMI with the Node.js environment and application stack using Chef recipes. Use the AMI in an Auto Scaling group and set up scheduled scaling for the required times, then set up an Amazon EC2 IAM role that provides permission to access DynamoDB.
D. Create a Docker file that uses the Chef recipes for the application environment based on an official Node.js Docker image. Create an Amazon ECS cluster and a service for the application environment, then create a task based on this Docker image. Use scheduled scaling to scale the containers at the appropriate times and attach a task-level IAM role that provides permission to access DynamoDB.

Answer: B

NEW QUESTION # 143
A DevOps Engineer is working with an application deployed to 12 Amazon EC2 instances across 3 Availability Zones. New instances can be started from an AMI image. On a typical day, each EC2 instance has 30% utilization during business hours and 10% utilization after business hours. The CPU utilization has an immediate spike in the first few minutes of business hours. Other increases in CPU utilization rise gradually. The Engineer has been asked to reduce costs while retaining the same or higher reliability. Which solution meets these requirements?

A. Create two Amazon CloudWatch Events rules with schedules before and after business hours begin and end. Create an AWS CloudFormation stack, which creates an EC2 Auto Scaling group, with a parameter for the number of instances. Invoke the stack from each rule, passing a parameter value of three in the morning, and six in the evening.
B. Create an Amazon EC2 Auto Scaling group using the AMI image, with a scaling action based on the Auto Scaling group's CPU Utilization average with a target of 75%. Create a scheduled action for the group to adjust the minimum number of instances to three after business hours end and reset to six before business hours begin.
C. Create two Amazon CloudWatch Events rules with schedules before and after business hours begin and end. Create two AWS Lambda functions, one invoked by each rule. The first function should stop nine instances after business hours end, the second function should restart the nine instances before the business day begins.
D. Create an EC2 Auto Scaling group using the AMI image, with a scaling action based on the Auto Scaling group's CPU Utilization average with a target of 75%. Create a scheduled action to terminate nine instances each evening after the close of business.

Answer: B

NEW QUESTION # 144
A company is implementing AWS CodePipeline to automate its testing process. The company wants to be notified when the execution state fails and used the following custom event pattern in Amazon CloudWatch: Which type of events will match this event pattern?

A. All rejected or failed approval actions across all the pipelines.
B. All the events across all pipelines.
C. Failed deploy and build actions across all the pipelines.
D. Approval actions across all the pipelines.

Answer: A

Explanation:
https://docs.aws.amazon.com/codepipeline/latest/userguide/detect-state-changes-cloudwatch-events.html

NEW QUESTION # 145
When building a multicontainer Docker platform using Elastic Beanstalk, which of the following is required

A. RedHatOpensift to manage the docker containers.
B. Kurbernetes to manage the docker containers.
C. DockerFile to create custom images during deployment
D. Prebuilt Images stored in a public or private online image repository.

Answer: D

Explanation:
Explanation
This is a special note given in the AWS Documentation for Multicontainer Docker platform for Elastic
Beanstalk
Building custom images during deployment with a Dockerfile is not supported by the multicontainer Docker
platform on Elastic Beanstalk. Build your images and
deploy them to an online repository before creating an Elastic Beanstalk environment.
For more information on Multicontainer Docker platform for Elastic Beanstalk, please refer to the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create_deploy_docker_ecs.
html

NEW QUESTION # 146
An n-tier application requires a table in an Amazon RDS MySQL DB instance to be dropped and repopulated at each deployment. This process can take several minutes and the web tier cannot come online until the process is complete. Currently, the web tier is configured in an Amazon EC2 Auto Scaling group, with instances being terminated and replaced at each deployment. The MySQL table
is populated by running a SQL query through an AWS CodeBuild job.
What should be done to ensure that the web tier does not come online before the database is completely configured?

A. Use an EC2 Auto Scaling lifecycle hook to pause the configuration of the web tier until the table is populated.
B. Use Amazon Aurora as a drop-in replacement for RDS MySQL. Use snapshots to populate the table with the correct data.
C. Modify the launch configuration of the Auto Scaling group to pause user data execution for 600 seconds, allowing the table to be populated.
D. Use AWS Step Functions to monitor and maintain the state of data population. Mark the database in service before continuing with the deployment.

Answer: A

NEW QUESTION # 147
......

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